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In present time of intense global competition, customers are demanding more and more variety, with better quality and service at lowest cost. This means that in order to be successful, firms need to develop supply chain strategies and logistical capabilities that serve the needs of their customers whilst maximizing overall profitability. All supply chains, in order to function properly, must focus on the huge opportunity that exists in their analytics. Specific objectives: On successfully completing this course you will be able to: • Understand the importance of the basics of Business Analytics and Optimization • Understand the importance of the basics of Supply Chain Analytics and Optimization • Analyze the level of uncertainty associated with the supply of products and services to targeted customer segments and justify the choice of a supply chain strategy and its fit with competitive strategy. • Explain the role and applications of Descriptive Analytics in a Supply Chain • Explain the role and applications of Predictive Analytics in a Supply Chain • Explain the role and applications of Prescriptive Analytics in a Supply Chain • Learn the basics of Modeling through R Language INTENDED AUDIENCE : It is an elective course for PG students and working professionals. PREREQUISITES : Basic knowledge of Operations management will be desirable. INDUSTRY SUPPORT : Supply Chain Analytics is a growing field. Some of the companies already in the business of Supply Chain Analytics and may recognize the online course can be IBM, Mu-Sigma, Genpact, Accenture, Capgemini, Wipro, Deloitte
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Week 1: Context of today’s supply chains (SC) analytics
Understanding and defining the supply chain analytics (SCA)
Revisions of Basic Lessons of Supply Chain Management
Why is Analytics Important in a supply chain?
Relating Operations Management with Supply chain concepts with SC Analytics
The importance of supply chain analytics in the flows involving material, money, information and ownership
Week 2: Supply chain analytics
Key issues in supply chain analytics
What involves in supply chain analytics
Concept of Descriptive Analytics in a Supply Chain
Discussion on a Few Supply Chains Analytics applications in India (students participation is expected)
Decision Domains in in supply chain analytics
Week 3: Foundation of Business Anlaytics (BA)
E2: Introduction to Modeling, Approaches for Optimization and Simulation, Modeling software, Supply Chain (SC) Decisions that requires mathematical or interpretative modelingUnderstanding of Data and its role in Analytics
Analytics of a Transportation problem in a Supply Chain
Managerial implication of results of analytics
Week 4: A CASE STUDY OF SUPPLY CHAIN ANALYTICS
Week 5: Foundation of PRESCRIPTIVE ANALYTICS IN NETWORK PLANNING IN A SUPPLY CHAIN
Network Planning in a Supply Chain
Importance of Network Planning
Design of Logistics Network using Heuristics/optimization (Exercise 3.4 Levi (2008))
Concept of 3PL/4PL in a Supply Chain
Case Study: GATI
Week 6: Foundation of Modeling Coordination Decisions in SUPPLY CHAIN MANAGEMENT
Week 7: Foundation of PERFORMACE MANAGEMENT IN SUPPLY CHAIN MANAGEMENT
Week 8: IT ENABLEMENT OF SUPPLY CHAINS
Role of ICT in Supply chains
